Triple
T26943326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plo Koon |
E678573
|
entity |
| Predicate | battalionNickname |
P96748
|
FINISHED |
| Object | Wolfpack |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wolfpack | Statement: [Plo Koon, battalionNickname, Wolfpack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battalionNickname Context triple: [Plo Koon, battalionNickname, Wolfpack]
-
A.
hasRegimentalNickname
Indicates that a military regiment is associated with a specific informal or traditional nickname.
-
B.
militaryUnitName
Indicates the specific official name assigned to a military unit in the context of a broader relationship or record.
-
C.
hasBattalionNumber
Indicates that an entity (such as a military unit) is associated with a specific battalion number identifier.
-
D.
troopsColloquiallyKnownAs
chosen
Indicates that a group of troops is commonly referred to by a particular informal or colloquial name.
-
E.
isBattalionEquivalent
Indicates that one military unit has a size, role, or organizational status equivalent to that of a battalion.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620822d6081908e38814f5a1c0931 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:20 a.m.